Discrete-time nonlinear feedback linearization via physics-informed machine learning.
Hector Vargas AlvarezGianluca FabianiNikolaos KazantzisConstantinos I. SiettosIoannis G. KevrekidisPublished in: J. Comput. Phys. (2023)
Keyphrases
- machine learning
- computer science
- artificial intelligence
- learning algorithm
- machine learning methods
- pattern recognition
- text classification
- linear quadratic
- learning problems
- machine learning algorithms
- information extraction
- feature selection
- explanation based learning
- relevance feedback
- machine learning approaches
- active learning
- markov chain
- knowledge representation
- inductive learning
- inductive logic programming
- learning tasks
- decision trees
- natural language
- knowledge acquisition
- semi supervised learning
- model selection
- user feedback
- finite state
- computational intelligence
- support vector machine
- nonlinear models
- markov processes
- visual feedback
- computer vision